effects of vegetation cover, presence of a native ant species, and human disturbance on colonization...
TRANSCRIPT
Contributed Paper
Effects of Vegetation Cover, Presence of a Native AntSpecies, and Human Disturbance on Colonizationby Argentine AntsKATHERINE FITZGERALD∗ AND DEBORAH M. GORDONDepartment of Biology, Stanford University, 371 Serra Mall, Stanford, CA 94305-5020, U.S.A.
Abstract: The spread of non-native invasive species is affected by human activity, vegetation cover, weather,and interaction with native species. We analyzed data from a 17-year study of the distribution of the non-native Argentine ant (Linepithema humile) and the native winter ant (Prenolepis imparis) in a preserve innorthern California (U.S.A.). We conducted logistic regressions and used model selection to determine whetherthe following variables were associated with changes in the distribution of each species: presence of conspecificsat neighboring sites, distance to development (e.g., roads, buildings, and landscaped areas), proportion of veg-etation cover taller than 0.75 m, elevation, distance to water, presence of both species at a site, temperature,and rainfall. Argentine ants colonized unoccupied sites from neighboring sites, but the probability of appear-ance and persistence decreased as distance to development, vegetation cover, and elevation increased. Winterants appeared and persisted in sites with relatively high vegetation cover (i.e., highly shaded sites). Presence ofthe 2 species was negatively associated in sites with high vegetation cover (more winter ants) and sites neardevelopment (more Argentine ants). Probability of colonization of Argentine ants decreased where winterants were most persistent. At sites near development within the preserve, abundant Argentine ant populationsmay be excluding winter ants. The high abundance of Argentine ants at these sites may be due to immigrationfrom suburban areas outside the preserve, which are high-quality habitat for Argentine ants. In the interiorof the preserve, distance from development, low-quality habitat, and interaction with winter ants may incombination exclude Argentine ants. Interactions among the variables we examined were associated withlow probabilities of Argentine ant colonization in the preserve.
Keywords: edge effect, Prenolepis imparis, propagule pressure, vegetation cover
Efectos de la Cobertura Vegetal, Presencia de Especies de Hormigas Nativas y Perturbacion Humana sobre laColonizacion por Hormigas Argentinas
Resumen: La expansion de especies invasoras no nativas es afectada por la actividad humana, la coberturavegetal, el tiempo y la interaccion con especies nativas. Analizamos datos de un estudio de 17 anos de ladistribucion de la hormiga argentina no nativa (Linepithema humile) y la hormiga nativa (Prenolepis imparis)en una reserva en el norte de California (E.U.A.). Realizamos regresiones logısticas y utilizamos seleccion demodelos para determinar si las siguientes variables se asociaban con cambios en la distribucion de cadaespecie: presencia de individuos de la misma especie en los alrededores, distancia a areas desarrolladas(e. g., caminos, edificios y jardines), proporcion de cobertura vegetal mayor a 0.75 m, altura, distancia alagua, presencia de ambas especies, temperatura y precipitacion. Las hormigas argentinas colonizaron sitiosno ocupados de sitios adyacentes, pero la probabilidad de aparicion y persistencia decrecio a medida queincremento la distancia al desarrollo, la cobertura vegetal y la altitud. Prenolepis imparis aparecio y persistioen sitios con cobertura vegetal relativamente amplia (i e., sitios muy sombreados). La presencia de las 2
∗email [email protected] submitted December 23, 2010; revised manuscript accepted October 5, 2011.
525Conservation Biology, Volume 26, No. 3, 525–538C©2012 Society for Conservation BiologyDOI: 10.1111/j.1523-1739.2012.01836.x
526 Argentine Ant Colonization Probability
especies se asocio negativamente en sitios con amplia cobertura vegetal (menos P. imparis) y en sitios condesarrollo (mas L. humile). La probabilidad de colonizacion de L. humile disminuyo donde P. imparis eran maspersistentes. En sitios cercanos al desarrollo, las abundantes poblaciones de L. humile pueden estar excluyendoa P. imparis. Al gran abundancia de L. humile en estos sitios se puede deber a la inmigracion desde areassuburbanas fuera de la reserva, que son habitat de buena calidad para L. humile. En el interior de la reserva,la distancia a areas desarrolladas, habitat de baja calidad y la interaccion con P. imparis combinadas puedeexcluir a L. humile. Las interacciones entre las variables que examinamos estuvieron asociadas con bajaprobabilidad de colonizacion de la reserva por L. humile.
Palabras Clave: cobertura vegetal, efecto de borde, Prenolepis imparis, presion de propagulos
Introduction
Non-native invasive species reduce probabilities of persis-tence of native species in many communities and ecosys-tems (Sakai et al. 2001). Non-native ants, for example,disrupt ant communities and interspecific interactionsin the areas they colonize (Holway et al. 2002; O’Dowdet al. 2003). The geographic spread of non-native inva-sive species and their effects on native species are associ-ated with environmental covariates including vegetationcover, weather and climate, and human activity (Thomas& Holway 2005; Going et al. 2009; Kestrup & Ricciardi2009). Human land use can facilitate invasive species’colonization of previously uninvasible areas (Menke &Holway 2006; Pauchard et al. 2009) or create con-ditions that allow invaders to exclude native species(MacDougall & Turkington 2005; Menke et al. 2007; King& Tschinkel 2008).
In a preserve in northern California (U.S.A.), we exam-ined the effects of proximity to developed areas, weather,distance to water, elevation, proportion of vegetationcover taller than 0.75 m, and presence of a native antspecies on site-level colonization by the Argentine ant(Linepithema humile) . The Argentine ant has invadedareas worldwide, especially in Mediterranean climatezones. Its global spread is associated with human activity,and in many invaded regions it inhabits primarily areasaround human habitations (Suarez et al. 2001; Carpinteroet al. 2003; Rowles & Silverman 2009). In arid regions,heat and low humidity limit spread (Menke & Holway2006; Schilman et al. 2007), and Argentine ants have col-onized natural areas only along riparian corridors or ur-ban edges that receive water runoff (Suarez et al. 1998;Holway 2005; Holway & Suarez 2006). In more mesicregions, such as some parts of Hawaii, Argentine antshave colonized natural areas more extensively (Krushel-nycky et al. 2005; Hartley et al. 2010) than in arid regionsand spread is limited by cold temperatures, which hin-der colony growth and reproduction (Hartley & Lester2003; Abril et al. 2008). Argentine ants’ moisture andtemperature requirements may preclude colonization ofuplands in some regions (Ward 1987) and forests in oth-ers (Krushelnycky et al. 2005; Ward & Harris 2005).
Where Argentine ants have colonized, few native antspecies coexist with them (Holway et al. 2002; Carpin-
tero et al. 2007; Rowles & O’Dowd 2007). In California,however, the native winter ant (Prenolepis imparis) sur-vives in areas colonized by Argentine ants (Ward 1987;Suarez et al. 1998; K. Fitzgerald, T. Sorrells, and D.M.Gordon, unpublished). Both species feed on honeydewproduced by phloem-sucking insects (Nygard et al. 2008;Rowles & Silverman 2009). They coexist partly becausetheir nesting and seasonal ecology differ. Argentine antsmove nest locations frequently (Heller & Gordon 2006)and are most active in September (Suarez et al. 1998;Sanders et al. 2001). In contrast, winter ants live in deep,long-used nests and are not known to migrate to newnests (Tschinkel 1987). Their activity peaks during lateautumn and early spring, and they often estivate duringthe summer, but specific timing of activities varies by lo-cation (Tschinkel 1987; Suarez et al. 1998; K. Fitzgerald,T. Sorrells, and D.M. Gordon, unpublished).
From 1993 through 2009, twice-yearly surveys of antdistributions were conducted at Jasper Ridge BiologicalPreserve (Santa Clara County, California), a 481-ha naturalarea owned by Stanford University, to track the coloniza-tion of the preserve by Argentine ants and the response ofnative ants to the colonization. When the survey began in1993, Argentine ants already occupied many peripheral,low-elevation areas of the preserve (Human et al. 1998).The source of the ants in Jasper Ridge was suburbanareas near the preserve. Between 1993 and 2001, Argen-tine ants progressively colonized the preserve in seasonalpulses. The invasion front progressed to new sites dur-ing summer and retreated during winter. In spring, theArgentine ants occupied fewer sites than the previous au-tumn (Sanders et al. 2001). These pulses reflected eachcolony’s yearly cycle of expansion into a network of manysmall, ephemeral, and widespread nests in summer andtheir contraction into larger clusters of relatively perma-nent nests in winter (Heller & Gordon 2006).
Since 2001, few hectares of Jasper Ridge have beencolonized for the first time, and summer expansions havebeen offset by winter contractions. Here, we examinedthe environmental variables associated with changes indistributions of Argentine and winter ants (P. imparis)since 1993. Taking into account the short dispersal dis-tance of the Argentine ant, we investigated whetherchanges in Argentine ant distribution were associatedwith proximity to development (e.g., roads, buildings,
Conservation BiologyVolume 26, No. 3, 2012
Fitzgerald & Gordon 527
and landscaped areas); environmental variables (e.g., veg-etation cover and elevation); presence of winter ants;and weather. We then investigated whether these vari-ables and Argentine ant presence are related to changesin distributions of winter ants.
Methods
Ant Surveys
Jasper Ridge Biological Preserve (37◦24′29′′N,122◦13′39′′W) is bordered by low-density suburbandevelopment, including buildings, farms, and roads; andthe property itself contains a few buildings, parkinglots, paved and dirt roads, and hiking and equestriantrails. It includes sections of San Francisquito Creekand its tributaries, including Searsville Lake and Dam.The preserve contains several different vegetationcommunities, including serpentine soil-based grasslanddominated by native plant species, annual grasslanddominated by non-native species, chaparral, coyotebrush (Baccharis pilularis), and poison oak (Toxicoden-dron diversilobum) scrub, oak woodland, evergreenwoodland, riparian woodland, and wetland.
We surveyed for ants twice yearly, in May and Septem-ber, from May 1993 through September 2009. Surveypoints were arranged on a 100-m grid superimposed overthe accessible areas (approximately 69%) of the preserve.We surveyed 334 points at least once and 121 points dur-ing all 34 surveys (mean of 25 [SD 11.6] surveys perpoint). In each survey, a 20-m radius around each pointwas searched once for 5 min. We identified all ants togenus. Through 1995 points with no ants were baitedwith honey traps for 24 hours (Sanders et al. 2001).Through 1996 ants were sometimes identified only asArgentine or native ants. For more information on surveymethods see Human et al. (1998), Sanders et al. (2001),and Heller et al. (2008).
For each survey point, we used the Santa Clara CountyLIDAR (light detection and ranging) data set, which pro-vides measures of ground elevation and vegetation heighttaken from an aircraft, to calculate the average elevationof the 1 ha surrounding the point and the proportion ofthe hectare covered by trees and shrubs (i.e., vegetationtaller than 0.75 m). We used maps of Jasper Ridge andan aerial photograph to calculate the distance in metersfrom each survey point to the nearest water body and tothe nearest developed area. Developed areas, clusteredwithin the western portion of the preserve and along itsboundary, included 7 buildings (field station, ranger res-idence, an art studio, an occasionally used horse stable,and several storage buildings), 3 gravel parking lots, trails,frequently traveled paved and gravel roads within the pre-serve, and the preserve boundary. We performed thesecalculations in ArcGIS (version 9.2., ESRI, Redlands, Cali-fornia) (additional details in Supporting Information).
Weather Data
We obtained data on precipitation and average minimumand maximum temperatures for each month betweenNovember 1992 and September 2009 from the PRISMClimate Group (2010). We averaged data from the 2 (4km × 4 km) PRISM grid squares that overlap Jasper Ridge(centered at 37◦24′59′′N, 122◦15′W and 37◦24′59′′N,122◦12′31′′W). Following Heller et al. (2008), we calcu-lated total rainfall and average minimum and maximumtemperatures for each winter (November–April) and sum-mer (May–September).
Analyses
Argentine ants spread with human assistance or on theirown by budding, when a queen and workers walk to anew nest location (Suarez et al. 2001; Ingram & Gor-don 2003). At Jasper Ridge, spread through buddingpredominates, with a maximum rate of 100–150 m/year(Suarez et al. 2001; DiGirolamo & Fox 2006), and longer-distance dispersal is limited to males during mating flights(Ingram & Gordon 2003). Because our survey sites wereon a 100-m grid, a site was likely to be colonized onlyif Argentine ants were already present at 1 of the 8neighboring sites, which were either 100 or 141 maway.
In analyses of species’ invasions in which data are col-lected from sites arrayed in a grid, spatial autocorrela-tion may lead to spurious associations between variablesassociated with colonization and features of sites nearother sites that are already colonized because probabilityof invasion may be associated with distance from con-specifics (Bini et al. 2009). We addressed autocorrelationby explicitly including the presence of Argentine antsat neighboring sites in our analyses. One of our fixed-effects variables was the proportion of surveyed neigh-boring sites at which Argentine ants were observed. Wealso examined whether environmental variables were as-sociated with probability of persistence of Argentine antsat sites they had already colonized.
We used model selection to determine whether vari-ables were associated with the appearance by Argentineants at previously unoccupied sites and with Argentineants’ persistence at sites. We examined the changes inthe presence of Argentine ants from each survey periodto the next and from each survey period to the one in thesame season the following year. We evaluated the weightof evidence for alternative models of 8 probabilities oftransition, 4 from absence to presence of Argentine antsand 4 from presence to absence of Argentine ants. Weexamined probabilities of each of those 2 types of transi-tion from spring to autumn in a given year (n = 17 years),from autumn of a given year to spring of the followingyear (n = 16), from autumn of a given year to autumnof the following year (n = 16), and from spring of agiven year to spring of the following year (n = 16) . In
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528 Argentine Ant Colonization Probability
each case, the binomial response variable was the pres-ence or absence of Argentine ants in the second surveyperiod.
We fit logistic regressions in R (version 2.10) (R De-velopment Core Team, Vienna, Austria) with generalizedlinear mixed models (Bates & Maechler 2009). Modelsincluded random effects of site and year to account forrepeated observations at the same sites. The fixed-effectsvariables were the proportion of surveyed neighboringsites in which Argentine ants were present during thefirst survey period in each comparison, the presence ofwinter ants at the site during the first survey period ineach comparison, distance to development, proportionof the 1 ha surrounding the site covered with vegeta-tion taller than 0.75 m, elevation, distance to water, rain-fall, temperature, and the interactions among variables.Weather variables were included for the time betweenthe 2 survey periods. Each model computed the proba-bility (p) of Argentine ant presence at the next surveyperiod, given the site and weather variables, with a logis-tic function, p = 1/(1 + e−f (X)), where f (X) represents alinear combination of the fixed and random effects.
To select the variables most strongly associated withappearance or persistence, we used forward selectionwith backward elimination and the Akaike informationcriterion (AIC) as the selection criterion (Burnham &Anderson 1998). This procedure selects the covariatesmost strongly associated with the response variables. Westopped adding variables when no new variables reducedthe AIC by more than 2 because models with �AIC < 2are generally considered equivalent (Burnham & Ander-son 1998). When no new variables could be added, weadded 2-way interactions for the selected variables (sameprocedure as for single variables). If, in a given step, thedifference in AIC values of 2 models was <2, we con-tinued model selection with both models in parallel. Wewere able to identify a single best model for each of the 8probabilities of transition and did not perform model av-eraging. Because we used forward selection rather thanexploring the entire model space, we did not calculateabsolute �AIC.
To elucidate the effects of continuous variables and ofinteractions between winter ant presence and continu-ous variables on the transition probabilities, we graphedcurves of the fitted models for each transition. We plot-ted the effect of each term in turn and held all othervariables constant at their mean values. We computedthe value of each variable at which the probability ofappearance or persistence, as calculated by the logisticcurve, was halfway between its minimum and maximumvalues.
We conducted the same analyses for winter ants aswe did for Argentine ants, except that the first fixed-effect variable was the proportion of surveyed neighbor-ing sites in which winter ants were present and the sec-ond was the presence of Argentine ants. We discarded
data points when native ants at a site were not iden-tified to species for either of the survey periods beingcompared.
Because Argentine ants and winter ants differ in sea-sonal activity, observations of the 2 species requireslightly different interpretations. Argentine ants are ac-tive throughout the day and year (Human et al. 1998),so differences in occupancy from one survey period tothe other probably reflect changes in local density of Ar-gentine ants. In contrast, when winter ants were not ob-served during a survey period, especially in the autumn,they may have been present but estivating, so our datamay underestimate their distributions. The data show thesites in which winter ants were present aboveground inthe spring and autumn, the periods when encounters be-tween the 2 species are most likely (K. F., T. Sorrells, andD. G., unpublished).
Results
Presence of Conspecifics at Neighboring Sites
Argentine ants were more likely to appear and persist atsites adjacent to those with Argentine ants (Figs. 1a & c).The proportion of neighboring sites with Argentine antswas the covariate most strongly associated with appear-ance and persistence and was the first or second selectedvariable for all 8 models (Table 1).
For winter ants, conspecific neighbors were less con-sistently associated with appearance and persistence thanfor Argentine ants. This variable was selected in 3 of 8models. In the spring, winter ants appeared and persistedmore often at sites that had many winter ant neighborsthe previous spring or autumn (Table 2) than at sites withfew conspecific neighbors.
Distance from Development
Argentine ants appeared and persisted most often at sitesclosest to developed areas (Figs. 1b & d). After propor-tion of neighboring sites with Argentine ants, proximityto development was the covariate most strongly associ-ated with Argentine ant appearance and persistence andwas the first or second variable selected in 7 of the 8 mod-els (Table 1). From one autumn to the next, there was aweak interaction, selected last of 9 covariates, betweendistance to development and winter minimum temper-ature. As winter minimum temperatures decreased, theassociation between distance to development and persis-tence increased.
Distance to development was not associated with win-ter ant appearance or persistence. Proximity to devel-oped areas was associated with appearance or persis-tence of winter ants only when Argentine ants werepresent. The negative association of Argentine ants withappearance at sites by winter ants decreased as distancefrom developed areas increased (Fig. 2a).
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Fitzgerald & Gordon 529
Figure 1. Seasonal patterns in effects of presence of Argentine ants in 8 neighboring sites on a grid and developedareas (buildings, roads, and landscaped areas) on probability of appearance and persistence of Argentine ants ata site: appearance of Argentine ants at previously unoccupied sites (a) as a function of proportion of 8neighboring sites with Argentine ants, (b) as a function of distance to nearest developed area and persistence ofArgentine ants, (c) as a function of proportion of 8 neighboring sites with Argentine ants, and (d) as a function ofdistance to nearest developed area (heavy solid lines, from one autumn to the next; light solid lines, from spring toautumn; heavy dashed lines, from one spring to the next; light dashed lines, from autumn to spring). Probabilitieswere calculated with the logistic functions computed for selected models (Table 1), and we assumed values of allvariables were at their mean except the variable shown on the x-axis.
Vegetation Cover
As vegetation cover decreased, the probability of Argen-tine ant persistence increased. Logistic curves reachedhalf their maxima when the proportion of cover tallerthan 0.75 m was 0.64–0.79, depending on season(Fig. 3a). Vegetation cover was moderately associatedwith persistence, selected second of 7, third of 5, fifth of7, and third of 9 terms for the 4 models of persistenceof Argentine ants (Table 1). Vegetation cover and eleva-tion had a synergistic negative association with Argentineant persistence. The negative association between closedcanopy and persistence was mitigated with increasingwinter rainfall. Vegetation cover itself was not associatedwith Argentine ant appearance. However, for appearancefrom spring to autumn the positive association with thepresence of conspecific neighbors decreased as vegeta-tion cover increased.
As vegetation cover increased, appearance and persis-tence of winter ants increased. Logistic curves reachedhalf their maxima when the proportion of cover was0.53–0.77, depending on survey period (Figs. 3b & c).Vegetation cover was most consistently associated withappearance and persistence of winter ants and was se-lected first in 7 of the models (Table 2). The interactionbetween vegetation cover and Argentine ant presencewas selected in 3 of 8 models. The interaction strength-ened the association of winter ants with vegetation coverin the presence of Argentine ants and weakened it in theabsence of Argentine ants (Table 2 & Fig. 2b). Logistic
curves of the interaction terms reached half of their max-ima when the proportion of cover was 0.64–0.69 in thepresence of Argentine ants and 0.29–0.42 in their ab-sence. From spring or autumn to the next spring, vegeta-tion cover and proportion of conspecific neighbors werepositively and synergistically associated with persistenceof winter ants.
Elevation and Distance to Water
In general, appearance and persistence of Argentine antsincreased as elevation decreased (selected second to lastof 4, 4, and 8 variables in 3 of 8 models) (Table 1). Dis-tance to water, which was highly correlated with eleva-tion, was selected in only one model.
Similarly, the appearance and persistence of winterants were not associated consistently with proximity towater or elevation, and these variables were selected in1 of the 8 models. From autumn to spring, winter antspersisted more frequently at low-elevation sites, and theassociation between persistence and elevation increasedas distance to water increased.
Presence of Other Species
Sites with winter ants had a lower probability of Argen-tine ant appearance and persistence (selected fourth of8 and third of 7 terms in 2 of the 8 models). If only win-ter ants were observed at a site one autumn, Argentine
Conservation BiologyVolume 26, No. 3, 2012
530 Argentine Ant Colonization Probability
Tabl
e1.
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with
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odel
s
No.d
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poin
tsra
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leva
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j
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gto
autu
mn
wit
hin
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ar
2193
(274
,17)
1158
896
−441
7−4
.35
0.71
(2)
−2.2
2(1
)–
–0.5
6(3
)–
–
autu
mn
of
year
xto
spri
ng
of
year
x+
1
1836
(238
,16)
772
621
−306
5−4
.91
0.49
(2)
−2.4
5(1
)–
––
–
spri
ng
of
year
xto
spri
ng
of
year
x+
1
1837
(256
,16)
938
706
−346
7−4
.57
0.94
(2)
−1.8
9(1
)–
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4(3
)–
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autu
mn
of
year
xto
autu
mn
of
year
x+
1
1832
(233
,16)
1005
766
−372
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0.64
(2)
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–
Per
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year
1724
(158
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630
−305
104.
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year
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1
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1340
1218
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(1)
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30(5
)
con
tin
ued
Conservation BiologyVolume 26, No. 3, 2012
Fitzgerald & Gordon 531
Tabl
e1
(con
tinue
d).
Bet
aco
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cien
tsof
com
mon
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Sele
cted
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tion
j
spri
ng
of
year
xto
spri
ng
of
year
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1
1608
(157
,16)
1070
949
−464
102.
810.
74(1
)−0
.36
(2)
−0.3
9(5
)–
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0(3
)0.
41(6
)
autu
mn
of
year
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autu
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of
year
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1
1842
(173
,16)
967
805
−390
123.
710.
90(1
)−0
.68
(2)
−0.6
8(3
)−0
.33
–0.
43(6
)
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ecte
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ard
sele
ctio
nw
ith
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ard
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ina
tion
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terc
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an
d2
ran
dom
effe
cts
for
ever
yse
lect
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odel
an
dth
ese
lect
edva
ria
ble
sa
nd
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ract
ion
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roport
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surv
eyed
nei
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ng
site
sw
ith
Arg
enti
ne
an
tspre
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rin
gth
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rst
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the
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rvey
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iods.
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nce
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eloped
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eor
at
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nce
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ter
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iods.
j In
tera
ctio
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wee
nve
geta
tion
cove
ra
nd
elev
ati
on
.
Conservation BiologyVolume 26, No. 3, 2012
532 Argentine Ant Colonization Probability
Tabl
e2.
Vari
able
sas
soci
ated
with
chan
ges
inth
eob
serv
eddi
stri
butio
nof
win
ter
ants
inJa
sper
Ridg
eBi
olog
ical
Pres
erve
inno
rthe
rnCa
lifor
nia
(U.S
.A.)
afte
rm
odel
sele
ctio
n.a
Sele
cted
Bet
aco
effi
cien
tsof
com
mon
AIC
model
cova
ria
tes
inse
lect
edm
odel
s
Win
ter
No.d
ata
poin
tsra
ndom
Arg
enti
ne
Arg
enti
ne
an
t(s
ites
,com
pa
red
effe
cts
log
no.
Arg
enti
ne
nei
gh-
an
ts:
an
ts:
tra
nsi
tion
per
iods)
model
bse
lect
edm
odel
cli
kel
ihood
pa
ram
eter
sdin
terc
ept
vege
tati
on
ea
nts
fbors
gdev
elopm
enth
vege
tati
on
i
Ap
pea
rin
gsp
rin
gto
autu
mn
wit
hin
aye
ar
2910
(302
,17)
1266
1173
−579
8−3
.50
0.94
(1)
–0.8
4(2
)–
0.55
(3)
0.34
(4)
autu
mn
of
year
xto
spri
ng
of
year
x+
1
3177
(293
,16)
2798
2655
−131
99
−1.6
40.
95(1
)−0
.057
(3)
0.16
(2)
0.65
(5)
–
spri
ng
of
year
xto
spri
ng
of
year
x+
1
2560
(288
,16)
2110
1973
−976
11−1
.73
0.90
(1)
−0.1
2(3
)0.
20(2
)0.
65(7
)–
autu
mn
of
year
xto
autu
mn
of
year
x+
1
3284
(292
,16)
1532
1454
−228
8−3
.14
0.90
(1)
−0.5
8(3
)–
0.47
(4)
0.50
(5)
Per
sist
ing
spri
ng
toau
tum
nw
ith
ina
year
988
(232
,15)
922
862
−421
10−1
.78
0.63
(1)
−0.3
9(2
)0.
47(6
)0.
41(5
)
autu
mn
of
year
xto
spri
ng
of
year
x+
1
367
(142
,16)
475
439
−210
100.
040.
66(1
)–
––
–
con
tin
ued
Conservation BiologyVolume 26, No. 3, 2012
Fitzgerald & Gordon 533
Tabl
e2
(con
tinue
d).
Sele
cted
Bet
aco
effi
cien
tsof
com
mon
AIC
model
cova
ria
tes
inse
lect
edm
odel
s
Win
ter
No.d
ata
poin
tsra
ndom
Arg
enti
ne
Arg
enti
ne
an
t(s
ites
,com
pa
red
effe
cts
log
no.
Arg
enti
ne
nei
gh-
an
ts:
an
ts:
tra
nsi
tion
per
iods)
model
bse
lect
edm
odel
cli
kel
ihood
pa
ram
eter
sdin
terc
ept
vege
tati
on
ea
nts
fbors
gdev
elopm
enth
vege
tati
on
i
spri
ng
of
year
xto
spri
ng
of
year
x+
1
802
(201
,15)
1044
973
−476
11−0
.09
0.60
(1)
–0.
26(3
)–
–
autu
mn
of
year
xto
autu
mn
of
year
x+
1
384
(141
,16)
474
459
−225
5−1
.05
––
––
–
Win
ter
an
tsw
ere
not
obse
rved
du
rin
gth
efi
rst
da
teof
the
“appea
rin
g”tr
an
siti
on
s.Th
eyw
ere
obse
rved
du
rin
gth
efi
rst
da
teof
the
“per
sist
ing”
tra
nsi
tion
s.aW
eu
sed
gen
era
lize
dli
nea
rm
ixed
model
sw
ith
logi
stic
resp
on
sea
nd
con
du
cted
forw
ard
sele
ctio
na
nd
ba
ckw
ard
elim
ina
tion
.We
stopped
addin
gva
ria
ble
sw
hen
no
new
vari
able
sre
du
ced
the
Aka
ike
info
rma
tion
crit
erio
n(A
IC)
by
more
tha
n2
;th
isre
sult
ing
model
wa
sth
ese
lect
edm
odel
.U
sin
gth
ispro
cedu
rew
ew
ere
able
tose
lect
asi
ngl
em
odel
for
each
tra
nsi
tion
.Lo
gli
kel
ihood,n
um
ber
of
pa
ram
eter
s,in
terc
ept,
an
dco
effi
cien
tsa
rere
port
edfo
rse
lect
edm
odel
son
ly.C
oef
fici
ents
wer
eca
lcu
late
dw
ith
sca
led
vari
able
s,a
nd
sca
lin
gva
ried
bet
wee
nco
mpa
riso
ns
of
dif
fere
nt
surv
eyper
iods;
thu
s,co
effi
cien
tssh
ou
ldbe
com
pa
red
on
lyw
ith
ina
sin
gle
tra
nsi
tion
.Nu
mber
sin
pa
ren
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ide
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ents
indic
ate
ord
erin
wh
ich
term
sw
ere
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cted
.bM
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gon
lyin
terc
ept
an
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ndom
effe
cts
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an
dda
te.
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lect
ion
wit
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ckw
ard
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ina
tion
.dP
ara
met
ers
cou
nte
din
clu
de
inte
rcep
ta
nd
2ra
ndom
effe
cts
for
ever
yse
lect
edm
odel
an
dth
ese
lect
edva
ria
ble
sa
nd
inte
ract
ion
s.eC
oef
fici
ent
for
the
pro
port
ion
of
the
site
cove
red
wit
hve
geta
tion
taller
tha
n0
.75
m.
fC
oef
fici
ent
for
the
pre
sen
ce(1
)or
abse
nce
(0)
of
Arg
enti
ne
an
tsdu
rin
gth
efi
rst
da
teof
the
tra
nsi
tion
.gC
oef
fici
ent
for
the
pro
port
ion
of
surv
eyed
nei
ghbori
ng
site
sw
ith
win
ter
an
tspre
sen
tdu
rin
gth
efi
rst
da
teof
the
tra
nsi
tion
.hC
oef
fici
ent
for
the
inte
ract
ion
bet
wee
nA
rgen
tin
ea
nt
pre
sen
cea
nd
the
dis
tan
ceto
the
nea
rest
dev
eloped
are
a.
i Coef
fici
ent
for
the
inte
ract
ion
bet
wee
nA
rgen
tin
ea
nt
pre
sen
cea
nd
vege
tati
on
cove
r.
Conservation BiologyVolume 26, No. 3, 2012
534 Argentine Ant Colonization Probability
Figure 2. (a) Relation between winter ant appearance from one spring survey to the next and distance of site todeveloped areas as a function of the presence of Argentine ants. Bars show the proportion of transitions from onespring to the next in which winter ants appeared during the second spring of the paired surveys (black bars, siteswith Argentine ants present during the first spring of the paired surveys; white bars, sites where Argentine antswere absent during the first spring of the paired surveys; near, 50% of sites closest to developed areas; far, 50% ofsites farthest from developed areas). (b) Relation between winter ant appearance from one spring survey to thenext and vegetation cover as a function of the presence of Argentine ants. Bars show the proportion of transitionsfrom one spring to the next in which winter ants appeared during the second spring of the paired surveys (black,sites with Argentine ants during the first spring of the paired surveys; white, sites without Argentine ants duringthe first spring; low and high, respectively, sites in the lowest and highest quartiles of proportion of vegetationcover with height >0.75 m).
ants were less likely to appear at that site the followingautumn (Table 1). Also, when both Argentine ants andwinter ants were observed at a site during spring, Argen-tine ants were less likely to be present at that site thefollowing spring (Table 1 & Supporting Information).
At sites where only Argentine ants were present, win-ter ants appeared less often in the next season or thenext year than at sites without Argentine ants (Table 2).At sites where winter ants and Argentine ants were bothobserved in the spring, winter ants persisted until the au-tumn less often than at sites where only winter ants wereobserved (Table 2). However, negative associations ofArgentine ants with appearance or persistence of winterants decreased as distance to development increased, asproportion of vegetation cover increased, and as winterrainfall decreased (Table 2 & Figs. 2a & b).
Weather
Argentine ant appearance and persistence between oneautumn and the next increased with increasing summerrainfall. This was the only weather variable that was as-sociated consistently with changes in Argentine ant pres-ence (selected third of 8 and fourth of 9 covariates, re-spectively, for models of appearance and persistence).The logistic curves reached half their maxima at 68 mm
of rainfall for appearance and 30 mm for persistence.Although temperature and its interaction with other vari-ables were selected for several models, their effects wereinconsistent and they were added late in the selectionprocess.
For winter ants, as for Argentine ants, associations ofappearance and persistence with weather variables wereequivocal. Neither temperature nor rainfall was associ-ated consistently with winter ant appearance or persis-tence.
Discussion
Human disturbance, habitat quality, and interactions withnative species may affect the distributions of invasivespecies and effects on native species in preserves neardeveloped areas. In our study, vegetation cover, ele-vation, presence of winter ants, and especially humandisturbance were all associated with changes in Argen-tine ant distribution. Vegetation cover and distance todeveloped areas also affected the association betweenArgentine ant presence and appearance by winter ants(Fig. 3).
Invasions usually begin in areas of human activity,largely because propagules are first introduced in theseareas (Sakai et al. 2001; Pysek et al. 2010; Rizali et al.
Conservation BiologyVolume 26, No. 3, 2012
Fitzgerald & Gordon 535
Figure 3. Seasonal patterns of association betweenvegetation cover with height >0.75 m and Argentineand winter ant appearance and persistence: effect ofvegetation cover on the probability (a) that Argentineants persisted at a site, (b) that winter ants appearedat a site, and (c) that winter ants persisted at a site(heavy solid lines, period from one autumn to thenext; light solid lines, from spring to autumn; heavydashed lines, from one spring to the next; light dashedlines, from autumn to spring). Probabilities werecalculated with the logistic functions computed forselected models (Table 1), and we assumed values ofall variables except vegetation cover were at theirmean.
2010). At regional and global scales, Argentine ants aremost successful in human-modified areas (Suarez et al.2001; Roura-Pascual et al. 2011). In our study, Argen-tine ants rarely invaded sites far from development, evenwhere they were present at neighboring sites. When theydid invade such a site, they did not persist (Fig. 1d). Ar-gentine ants’ association with development was not dueto opportunity only.
Rather, like other invasive species, including the fireant (Solenopsis invicta) (MacDougall & Turkington 2005;King & Tschinkel 2008), Argentine ants may succeed inthese sites because of human alterations to the physicalenvironment. The effects of distance to development atJasper Ridge may have been due to temperature rather
than water limitations. In arid southern California, greaterwater availability in and near suburban areas increases theprobability of invasions of Argentine ants (Suarez et al.1998; Holway & Suarez 2006; but see Bolger 2007). Inthe more mesic environment of Jasper Ridge, changesin distributions of Argentine ants were not associatedwith distance from water, although they did spread moreoften in rainy summers, which is consistent with find-ings of Heller et al. (2008). That Argentine ant appear-ance and persistence were lower at higher elevation mayhave been due to lower water availability (Ward 1987) orcooler temperatures at these sites (Hartley et al. 2010).Proximity to developed areas was associated with Argen-tine ant persistence especially after cold winters. ThatArgentine ant persistence was lower at sites shaded bytall vegetation suggests they may be temperature limitedat Jasper Ridge (Fig. 3a). Argentine ants do not occurin forested areas in Hawaii (Krushelnycky et al. 2005)and New Zealand (Ward & Harris 2005), probably due tocooler temperatures under the canopy. At Jasper Ridge,Argentine ants’ winter nest aggregations occur at sunnysites (Heller & Gordon 2006); possibly they cannot findsuitable winter nest sites in wooded areas, and migrateelsewhere or die during the winter.
Near Jasper Ridge, Argentine ants enter buildings dur-ing winter (Gordon et al. 2001), where warmer tempera-tures may lead to increased reproductive success (Hartley& Lester 2003; Abril et al. 2008). Argentine ants surviveand reproduce outdoors at Jasper Ridge, but may do soat rates too low to expand their distribution without mi-gration from surrounding developed areas. Bolger (2007)similarly proposed that the presence of Argentine antsnear suburban edges of southern California natural areasis due to a source–sink dynamic in which ants migratefrom high-quality, suburban habitat to low-quality less-developed habitat where they cannot sustain populationgrowth (Fagan et al. 1999).
Winter ant presence was associated with lower Argen-tine ant presence for some survey periods. Winter antpresence may impede Argentine ant invasion at highlyshaded sites that provide high-quality habitat for winterants but low-quality habitat for Argentine ants. Winterants were strongly associated with high levels of vege-tation cover (Table 2 & Figs. 3b & c), which is consis-tent with their distribution throughout North Americanwoodlands (Tschinkel 1987; Andersen 1997). In autumnsurveys, they were mostly limited to shaded sites, and Ar-gentine ants were less likely to appear the next autumnat these sites than at sites without winter ants. Presenceof winter ants at sites in the spring was also associatedwith lower persistence of Argentine ants (Supporting In-formation).
Similarly, appearance of winter ants at sites with Argen-tine ants varied with season, vegetation cover, and devel-opment. In most survey periods, winter ants persistedat sites regardless of Argentine ant presence or absence
Conservation BiologyVolume 26, No. 3, 2012
536 Argentine Ant Colonization Probability
(Table 2), possibly because, like several other ant speciesthat coexist with Argentine ants (Holway 1999; Holwayet al. 2002; Sagata & Lester 2009), they produce chem-icals to defend nests (Sorrells et al. 2011). Winter antappearance, however, was negatively associated with Ar-gentine ant presence in sites where Argentine ants weremost persistent: near development or without thick veg-etation cover (Figs. 2a & b).
Interactions with native species shape invasions mainlywhen the invading species is hindered by other factors(Levine et al. 2004; Ruesink 2007; Masciocchi et al. 2010).For ant invasions, in particular, resistance by native antsis usually ineffective (e.g., O’Dowd et al. 2003; Hoffmann& Saul 2010; reviewed in Lach & Thomas 2008); this istrue of Argentine ant invasions (Holway 1999; Carpinteroet al. 2007; Rowles & O’Dowd 2007). However, nativecompetitors may kill small laboratory colonies of Argen-tine ants (Walters & Mackay 2005; Sagata & Lester 2009),and native ant communities slow, although do not pre-vent, invasions of Argentine ants in Southern Californiaand Spain (Menke et al. 2007; Roura-Pascual et al. 2010).Sites in Europe with relatively many Leptomyrmecinegenera are less likely to be invaded by Argentine ants,but this effect is mainly apparent at sites at the edge ofthe Argentine ant’s climate tolerance where there is littlehuman disturbance (Roura-Pascual et al. 2011).
If buildings contribute to rapid population growth ofArgentine ants, then increased density of Argentine antsnear developed areas may lead to the exclusion of nativeants (Holway 1999; Walters & Mackay 2005; Sagata &Lester 2009). In some invasions, density reaches a crit-ical mass (Roura-Pascual et al. 2010) that facilitates awave of invasion (Von Holle & Simberloff 2005; Holle-bone & Hay 2007; Clark & Johnston 2009). At JasperRidge, in contrast, it appears that a flow of migrantsfrom developed areas has not helped Argentine antsovercome barriers to colonization (i.e., low-quality habi-tat and interaction with winter ants in the interior ofthe preserve). Thus, our results offer a local exampleof the regional pattern of Argentine ant invasion in Eu-rope (Roura-Pascual et al. 2011). The distribution of aninvasive species depends on habitat quality. At sites withlow habitat quality, interactions with native species mayprevent invasion, but human disturbance may changequality from low to high, and thereby alter the out-come of interactions between native species and invadingspecies.
Acknowledgments
J. Shors and the Jasper Ridge staff gave invaluable assis-tance and support for field work. Many Stanford under-graduates and community members have helped withant surveys over the years, particularly T. Riley in autumn2009. We thank P. Switzer for statistical advice, T. Hebert
for technical advice, P. Lester, and an anonymous re-viewer for advice on the manuscript, and S. Tuljapurkar,R. Dirzo, N. Chiariello, N. Heller, and J. Roughgarden formany helpful discussions.
Supporting Information
Calculations of values of environmental variables in Ar-cGIS (Appendix S1) and a figure showing the asso-ciation between presence of winter ants and Argen-tine ant persistence (Appendix S2) are available on-line. The authors are solely responsible for these ma-terials. Queries should be directed to the correspondingauthor.
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